PhD in Electronic Engineering

Academic year 2021-22

Degree data and benchmarks

Below are the main data and benchmarks, as well as the results of the satisfaction surveys for the degree programme, which are periodically analysed and monitored by the centre administrator, the head of studies and the corresponding quality assurance commissions, with a view to promoting the ongoing improvement of the programme.

2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 2019-20
New students 3 5 1 4 3 0 0
Registered students 3 8 9 13 16 13 9
Readed theses 0 0 0 0 3 3 0

Data updated on June 29th 2021.

Satisfaction of groups involved

 

Data and description

2016-17 2017-18 2018-19 2019-20
Student satisfaction - - 3,60 -
PDI satisfaction - 3,00 3,20 3,67
PAS satisfaction - 2,90 - 3,00

Sources:

  • Survey of student satisfaction with the study programme
  • Survey of satisfaction and identification of needs of the teaching and research staff (PDI)
  • Biennial survey of satisfaction and identification of needs of the administrative and service staff (PAS) who have supported the undergraduate and postgraduate studies.

Items rated on a scale of 1 to 4, where 1 means ‘not at all satisfied’ and 4 means ‘very satisfied’.

 

Thesis

Link to the institutional repository (DSPACE)

Year Thesis
2022
  • "Hardware Implementation of Machine Learning and Deep-Learning Systems oriented to Image Processing"
  • Compact Machine Learning Systems with Reconfigurable Computing
2021
  • CONTRIBUTIONS ON USING EMBEDDED MEMORY CIRCUITS AS PHYSICALLY UNCLONABLE FUNCTIONS CONSIDERING RELIABILITY ISSUES
  • Fully integrated CMOS-MEMS resonators as a biosensing platform
  • Instrumentación y caracterización del flujo térmico de materiales con aplicación al ahorro energético en edificación.
2019
  • "Modelling and Applications of Memristive Devices"
  • Developments for an embedded and reliable floating gate dosimeter
  • Nonlinear and chaotic behavior in CMOS-MEMS resonators
2018
  • A Contribution to the Characterization of Radiation-induced Soft Errors in Sigma-Delta Modulators and SRAM Memories
  • Desarrollo y aceleración hardware de metodologías de descripción y comparación de compuestos orgánicos
  • Shallow water remote sensing using sonar improved with geostatistics and stochastic resonance data processing

Who oversees the quality of the degree programme?

Accountability and transparency

Access to the Register of Universities, Centres, and Degrees (RUCT)